87. P. Yahampath and M. Pawlak, 2001. "Iterative design of predictive vector quantizers for noisy channels". IEEE Conference on Communication, to appear.

86. P. Yahampath and M. Pawlak, 2001. "Soft decoding in noisy channel vector quantization using a neural-net receiver".IEEE Int. Symp. on Intelligent Signal Processing and Communication Systems, to appear.

85. M. Pawlak , and L. Nguyen, 2001. "Signal sampling and recovery with dependent noise". Conference on Sampling Theory and Applicationspp. 55-59, Orlando.

84. M. Pawlak and E. Rafajlowicz, 2001. "On a nonlinear method of function recovering: the vertical regression approach". Workshop on Nonlinear Estimation and Classification, Mathematical Sciences Research Institute, Berkeley.

83. M. Pawlak , 2000. "Nonparametric estimation on a circular domain". International Conference on Mathematical Statistics. Invited paper, p. 101, Szklarska Poreba.

82. M. Pawlak and E. Rafajlowicz, 2000. "Jump preserving signal reconstruction using the vertical regression method". International Conference on Nonlinear Analysis. Invited paper, Catania.

81. M. Pawlak , 2000. "On signal recovery under noise". Conference on Information Sciences and Systems, pp. 77-79, Princeton University.

80. S. Liao and M. Pawlak, 2000. "Object reconstruction from invariant features". Canadian Conference on Electrical and Computer Engineering, pp. 455-459, Halifax.

79. P. Yahampath and M. Pawlak, 2000. "Fixed-order decoding for vector quantization over noisy channels". Canadian Conference on Electrical and Computer Engineering,pp. 888-892, Halifax.

78. A. Krzyzak, M. Pawlak, E. Rafajlowicz, 2000, ``Recovery of not necessarily band-limited signals in the presence of noise'', IEEE International Symposium on Information Theory, Sorrento(Italy), June 2000, to appear.

77. M. Pawlak, 2000, ``Nonparametric estimation of a class of queueing systems'', IEEE International Symposium on Information Theory, Sorrento(Italy), June 2000, to appear.

76. M. Pawlak , R. Pearson,B.Ogunnaike and F.Doyle, 2000, ``Nonparametric identification of generalized Hammerstein models'', IFAC Symposium on System Identification, Santa Barbara, June 2000, to appear.

75. M. Pawlak and Z. Hasiewicz, 2000, ``Nonlinear system identification via wavelet expansions'', IFAC Symposium on System Identification, Santa Barbara, June 2000, to appear.

74. M. Pawlak, 1999, ``Signal recovery under noise for not necessarily band-limited signals``, The 99 Workshop on Sampling Theory, Norway, August 99, pp.44-48.

73. M. Pawlak and P. Yahampath, 1999, ``Density estimation for object classification in the quantized domain``, Canadian Workshop on Information Theory, June 99, Queen's University, p128.

72. M. Pawlak and P. Yahampath, 1999, ``On Nonparametric Estimation from Quantized Data'', IEEE Information Theory Workshop on Detection, Estimation, Classification and Imaging, Santa Fe, invited paper for a special session on Estimation from Compressed Data, p.68.

71. M. Pawlak and Z. Hasiewicz, 1999, ``Non-parametric system identification of non-linear block oriented systems by multiscale expansions'', the 99 European Control Conference, Karlsruhe, invited paper for a special session on Orthogonal Expansions Techniques for Nonlinear Modeling,pp.678-681.

70. M. Pawlak, 1998, ``Signal recovery under noise'', 32nd Asilomar Conference on Signals, Systems, and Computers, Asilomar Conference Ground, California, pp.123-125.

69. A. Krzyzak, M. Pawlak}, E. Rafajlowicz, 1998, ``Signal recovery under noise for not necessarily band-limited signals'', IEEE International Symposium on Information Theory, MIT, Boston, p. 477.

68. M. Pawlak and X. Liao, 1998, ``Nonparametric estimation of a function defined on a circular domain'', IEEE International Symposium on Information Theory, MIT, Boston, p. 356.

67. M. Pawlak and U. Stadtmüller, 1998, `` Density estimation from compressed data'', 30th Symposium on the Interface: Computing Science and Statistics, University of Minnesota, Minneapolis.

66. M. Pawlak and D. Siu, 1998, ``Classification with noisy features'', International Workshop on Statistical Pattern Recognition, Sydney, Australia, pp. 123--129.

65. X. Liao and M. Pawlak, 1998, ``A study of Zernike moment computing'', International Conference on Artificial Intetelligence and Computer Vision, Hong Kong, pp. 394--401.

64. M. Pawlak, 1997, ``Smoothing and Signal Recovery'', Workshop on Nonparametric Functional Estimation, University of Montreal, Montreal, invited paper.

63. X. Liao and M. Pawlak, 1997, ``Moment descriptors for character recognition'', 1997 WACNAX, Winnipeg, Manitoba, pp. 211--214.

62. M. Pawlak and Z. Hasiewicz, 1997, ``Nonlinear system identification by the multiresolution analysis'', IEEE Workshop on Nonlinear Signal Processing and Image Analysis, Mackinac Island, pp. 197--201.

61. M. Pawlak and U. Stadtmüller, 1997, `` Signal recovery from compressed data'', 1997 Canadian Workshop on Information Theory, Toronto, pp. 81--82.

60. A. Krzyzak, E. Rafajlowicz and M. Pawlak, 1997, ``Moving average restoration of band-limited sugnals from noisy-observations'', 1997 IEEE International Symposium on Information Theory, June, Ulm, Germany, pp. 243.

59. M. Pawlak and U. Stadtmüller, 1997, ``Nonparametric estimation with quantized data'', 1997 IEEE International Symposium on Information Theory, Ulm, Germany, p. 516.

58. M. Pawlak and U. Stadtmüller, 1997, ``Sampling with binned data'', 1997 International Workshop on Sampling Theory and Applications, Aveiro, Portugal, pp. 437--440.

57. M. Pawlak and U. Stadtmüller, 1997, ``Signal recovery from grouped data'', IEEE Signal Processing Conference, Munich, pp. 887--889.

56. X. Liao and M. Pawlak, 1996, ``Image reconstruction via Legendre moments'', IASTED Conference on Signal and Image Processing, Orlando, pp. 320--324.

55. M. Pawlak, 1996, ``Nonlinear system identification with nonparametric regression deconvolution'', 34th Allerton Conference, University of Illinois at Urbana-Champaign, pp. 128--130.

54. W. Greblicki and M. Pawlak, 1996, ``Nonparametric techniques in nonlinear system identification'', invited paper, VI International Conference on Statistical Modelling, Warsaw, Poland, pp. 77--80.

53. M. Pawlak and U. Stadtmüller, 1996, ``Curve estimation and data compression'', invited paper, VI International Conference on Statistical Modelling, Warsaw, Poland, pp. 133--136.

52. M. Pawlak and E. Rafajlowicz, 1996, ``Orthogonal networks for function recovering'', invited paper, 2nd Conference on Neural Networks, Szczyrk, Poland, pp. 233--237.

51. X. Liao and M. Pawlak, 1996, ``Image analysis with moment descriptors'', The 7th International Conference on Signal Analysis & Technology, Boston, pp. 987--991.

50. M. Pawlak and U. Stadtmüller, 1996, ``Kernel density estimators from quantized data'', invited paper, The Second World Congress of Nonlinear Analysis, Athens, Greece, pp. 456--460.

49. M. Pawlak and E. Rafajlowicz, 1996, ``On function recovery by orthogonal neural networks'', invited paper}, The Second World Congress of Nonlinear Analysis, Athens, Greece, pp. 878--882.

48. M. Pawlak and U. Stadtmüller, 1996, ``Sinc multiresolution approach for signal recovery'', 1996 Conference on Information Sciences and Systems, Princeton, pp. 276--279.

47. X. Liao and M. Pawlak, 1995, ``Moment descriptors for image classification'', Candadian Conference on Information Theory, pp. 233--236

46. Z. Hasiewicz and M. Pawlak, 1995, ``Nonlinear system identification by wavelet basis'', Conference on Circuit and Systems, Szczyrk, Poland, pp. 211--213.

45. M. Pawlak, R.K. Pearson, T. Ogunnakie, and F.J. Doyle, 1995, ``Nonparametric estimation of a class of nonlinear models'', The 20th Meeting of Statisticians, Denmark, pp. 297--298. 44. M. Pawlak and U. Stadtmüller, 1995, ``Nonparametric curve recovering from compressed data'', 1995 IEEE International Symposium on Information Theory, Whistler, pp. 253--254.

43. M. Pawlak, R.K. Pearson, T. Ogunnakie, and F.J. Doyle, 1994, ``Identification of a class of nonlinear models'', Bernoulli Society Congress, Research Triangle Park, North Carolina, pp. 432--435.

42. M. Pawlak and W.Greblicki, 1994, "On nonparemtric identification of cascade nonlinear systems'', The 33rd IEEE Conference on Decision and Control, Lake Buena Vista, Florida, pp. 2866--2868.

41. A. Krzyzak , E. Rafajlowicz and M. Pawlak, 1994, ``On reconstruction of band-limited signals from noisy measurments'', The 33rd IEEE Conference on Decision and Control, Lake Buena Vista, Florida, pp. 1195--1197.

40. M. Pawlak and U. Stadtmüller, 1994, "Nonparametric estimation of a class of smooth functions", The 1994 IEEE/IMS Workshop on Information Theory and Statistics, Alexandria, VA, pp. 84--86.

39. M. Pawlak and Mount-First Ng, 1994, "On kernel and radial function techniques for classification and function recovering'', 12th ICPR, Israel, pp. 179--184.

38. M. Pawlak, 1994, "Recovering band-limited signals under noise'', 28 Princenton Annual Conference on Information Sciences and Systems, pp. 123--125, Princenton, p. 556.

37. M. Pawlak and W.Greblicki, 1994, ``Nonlinear system identification with the help of order statistics'', 1994 IFAC Symposium on Parameter Estimation and System Identification, Kopenhagen, Denmark, invited paper in section on Nonlinear System Identification, pp. 157--161.

36. M. Pawlak and X. Liao, 1994, ``On digital approximation of moment descriptors'', 3rd International Conference on Computer Graphics and Image Processing (GKPO'94), Spala, Poland, pp. 87--91.

35. M. Pawlak, 1994, ``Discontinuity estimation in nonparametric regression via orthogonal series'', 26th Symposium on the Interface: Computing Science and Statistics, Research Triangle Park, North Carolina, invited paper in section on Nonparametric Regression for Edge and Peak Preserving, pp. 252--256.

34. E. Rafajlowicz, A. Krzyzak and M. Pawlak, 1994, ``On restoration of band-limited signals from noisy observations'', 1994 IEEE International Symposium on Information Theory, Trondheim, Norway, p. 127.

33. M. Pawlak and W. Greblicki, 1994, ``Nonlinear system identification with nonparametric deconvolution'', 1994 IEEE International Symposium on Information Theory, Trondheim, Norway, p. 124.

32. M. Pawlak, 1993, `` Discontinuity estimation in nonparametric regression'', 49th Session of the International Statistical Institute, Florence, Italy, invited paper, pp. 123--125.

31. M. Pawlak , 1993, ``On the reconstruction of band-limited signals under noise'', Canadian Confernce on Information Theory, Richmond, Ontario, pp. 77--79.

30. M. Pawlak, 1993, ``Nonparametric Identification of block oriented nonlinear time series systems'', Stochastic and Statistical Methods in Hydrology and Environmental Engineering, An International Conference in Honour of Prof. T.E. Unny, Waterloo, invited paper, pp. 87--89.

29. G. Lugosi and M. Pawlak , 1993, ``On the posterior probability estimate of the error rate of nonparametric classification rules'', 1993 International Symposium on Information Theory, San Antonio, pp. 151--153.

28. W. Greblicki and M. Pawlak, 1993, `` Nonparametric regression function estimation with order statistics and application to nonlinear system identification'', 1993 International Symposium on Information Theory, San Antonio, pp. 211--213.

27. M. Pawlak , 1993, ``Detecting and localizing discontinuities in nonparametric regression'', 1993 International Symposium on Information Theory, San Antonio, pp. 233--235.

26. M. Pawlak, 1992, ``Discontinuity estimation in nonparametric regression'', The 20th Meeting of Statisticians, Bath, pp. 99--101.

25. M. Pawlak, 1992, ``On the detection and measurment of discontinuities'', 11th International Conference on Pattern Recognition, The Hague, pp. 378--381.

24. M. Pawlak and X. Liao, ``On the reconstruction aspects of orthogonal moments'', 11th International Conference on Pattern Recognition, The Hague, pp. 549--552.

23. \bf M. Pawlak and X. Liao, 1992, ``On image analysis via orthogonal moments'', Vision Interface, Vancouver, pp. 253--258.

22. M. Pawlak, 1992, ``Detection and measurment of discontinuities in nonparametric regression'', Interface 92, College Station, Texas, pp. 233--236.

21. M. Pawlak, 1992, ``On the nonparametric discontinuity estimation'', Workshop on Statistical Methods in Imaging, Berkeley, pp. 77--79.

20. M. Pawlak, 1991 , ``Nonparametric measurment and detection of discontinuities'', 29th Annual Allerton Conference on Communication, Control and Computing, Urbana-Champaign, Illinois, pp. 727--728.

19.\bf M. Pawlak, 1991, ``On the identification of additive nonlinear system'', The 30th IEEE Conference on Decision and Control, Brighton, UK, pp. 800--802 .

18. M. Pawlak and W. Greblicki, 1991, ``On nonparametric estimation of a cascade nonlinear system by the kernel regression estimate'', The 1991 IEEE International Symposium on Information Theory, Budapest, pp. 161--162.

17. M. Pawlak, 1991, ``Nonparametric curve fitting with discontinuities'', The 1991 IEEE International Symposium on Information Theory, Budapest, pp. 70--71.

16. W. Greblicki and M. Pawlak, 1991, ``Nonparametric identification of nonlinear block oriented systems'', invited paper for the 9th IFAC/IFORS Symposium on Identification and System Parameter Estimation, Budapest, pp. 720--724.

15. M. Pawlak, 1990, ``On the reconstruction aspects of moment invariants'', CIPS Edmonton '90, Information Technolgy Conference, Edmonton, pp. 177--179.

14. M. Pawlak, 1990, ``Nonparametric identification of a particular nonlinear time series system'', The 29th IEEE Conference on Decision and Control, Honolulu, pp. 216--217.

13. M. Pawlak and W. Siedlecki, 1990 ``Kernel classification rules in the presence of missing values'', 10th International Conference on Pattern Recognition, Rome, pp. 667--680.

12. M. Pawlak, 1990, ``On the image recovering from moment descriptors'', The 1990 IEEE International Symposium on Information Theory, San Diego , pp. 162--163 .

11. M. Pawlak, 1990, ``Nonparametric identification of a cascade nonlinear time series system'', The 1990 IEEE International Symposium on Information Theory, San Diego, pp. 96--97.

10. M. Pawlak, 1989, ``A nonparametric estimation of the entropy functional'', The 1989 Canadian Workshop on Information Theory, Sidney, Vancouver Island, British Columbia, pp. 8--9.

9. M. Pawlak, 1989, ``Estimation of the classification error rate using smoothed estimators'', Second Conference of the International Federation of Classification Societies, Charlottesville, pp. 106--108.

8. M. Pawlak, 1988, ``Identification of a class of parallel systems'', 26th Annual Allerton Conference on Communication, Control and Computing, Urbana-Champaign, Illinois, pp. 366--367.

7. M. Pawlak} and X. Liao, 1988, ``Estimation of error rates using smoothed estimators'', 9th International Conference on Pattern Recognition, Rome, Italy, pp. 954--956.

6. M. Pawlak, 1988, ``On the smoothed estimate of the classification error-rate'', 1988 IEEE Intern. Symp. on Information Theory, Kobe, Japan, pp. 12--13.

5. W. Greblicki and M. Pawlak, 1989, ``Nonparametric Hammerstein System Identification with Hermite Polynomials'', 8th IFAC/IFORS Symposium on Identification and System Parameter Estimation, Beijing, China, pp. 122--125.

4. D.R. Sawh, J. Loewen, W.H. Lehn, H.C. Card, M. Pawlak, and R.D. McLeod, 1986, ``Edge extraction algorithms and their implementation in silicon'', 1986 Canadian Conference on Very Large Scale Integration, Montreal, pp. 151--153.

3. W. Greblicki and M. Pawlak, 1986, ``Nonparametric identification of two--channel nonlinear systems'', 25th IEEE Conference on Decision and Control, Athens, Greece, pp. 2012--2015.

2. M. Pawlak, 1984, ``Picture restoration by orthogonal expansion'', 7th International Conference on Pattern Recognition, Montreal, pp. 981--984.

1. M. Pawlak, 1982, ``On the estimation of a functional of probability density and its applications to pattern recognition'', Proceedings of 6th International Conference on Pattern Recognition, Munich, pp. 475--477.